code: def testDenseFeaturesV1RaisesError(self):
      key = "feature_key"
      state_dims = 5
      column = tf.feature_column.numeric_column(key, [state_dims])
      input_spec = {key: tensor_spec.TensorSpec([state_dims], tf.int32)}
      dense_features = tf.compat.v1.keras.layers.DenseFeatures([column])
      with self.assertRaisesRegex(ValueError, "DenseFeatures"):
          encoding_network.EncodingNetwork(
              input_spec, preprocessing_combiner=dense_features
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.networks import encoding_network
  from tf_agents.specs import tensor_spec
  from tf_agents.utils import test_utils
label_desc: Use image node_id 12 for calling the EncodingNetworkTest obj's underlying member method code with example usage: obj.testDenseFeaturesV1RaisesError() without return types